Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Gemma 2 9B

Google

Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). The model shows particular specialization in reasoning tasks with an average performance of 79.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

Llama-3.3 Nemotron Super 49B v1

NVIDIA

Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

Gemma 2 9B

Google

2024-06-27

Llama-3.3 Nemotron Super 49B v1

NVIDIA

2025-03-18

8 months newer

Average performance across 1 common benchmarks

Gemma 2 9B

Average Score:52.4%

Llama-3.3 Nemotron Super 49B v1

+38.9%

Average Score:91.3%

Performance comparison across key benchmark categories

Gemma 2 9B

math

52.6%

code

48.5%

general

66.4%

Llama-3.3 Nemotron Super 49B v1

math

+44.0%

96.6%

code

+42.8%

91.3%

general

+5.4%

71.8%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Llama-3.3 Nemotron Super 49B v1

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemma 2 9B

0 providers

Llama-3.3 Nemotron Super 49B v1

0 providers

Gemma 2 9B

Avg Score:52.4%

Providers:0

Llama-3.3 Nemotron Super 49B v1

+38.9%

Avg Score:91.3%

Providers:0